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This paper introduces a deep learning-based multifidelity surrogate modeling approach that fuses multifidelity datasets for high-dimensional reliability analysis of complex structures. doi.org/10.1115/1.4065…

In this paper, an approximate efficient stochastic dynamics technique is developed for determining response statistics of linear systems with frequency-dependent parameters. doi.org/10.1115/1.4064…

This work proposes a method using a long short-term memory neural network as a diagnostic tool to detect wind turbine rotor mass imbalance. doi.org/10.1115/1.4064…

In this paper, a new dynamic analysis is presented for estimating the probability of core damage due to extended loss of power and cooling in a modern nuclear reactor, giving results different from current standardized PRA/PSA analyses. doi.org/10.1115/1.4064…

This #OpenAccess paper evaluates the applicability of different surrogate models engaged in computing global design variable sensitivities for the drawability assessment of a deep-drawn component. doi.org/10.1115/1.4065…

This Technical Note presents the steps in achieving a complete Optimal mass transport(OMT) analysis, illustrating the effectiveness of OMT in railway engineering applications. doi.org/10.1115/1.4064…

This paper investigates the effectiveness of load-based safety margins for very tall aerial lifts with telescoping-booms. The results indicate that the industry standards result in both inconsistent and often low safety margins. doi.org/10.1115/1.4065…

In this paper, a mode sensitivity enhancement method for beam bridge using high-density strain feedback is proposed, in which high density dynamic strain measurements of the girder structure can be collected by distributed fiber sensor. asmedigitalcollection.asme.org/risk/article/1…

This paper demonstrates that even for small levels of equivalent viscous damping, a combination of sources can have a significant impact on the estimate of the fragility of a wind turbine in operational conditions. doi.org/10.1115/1.4064…

This paper focuses on the adjustment of multipliers through Bayesian inference based on Monte Carlo techniques using the experimental results from simulators. asmedigitalcollection.asme.org/risk/article/1…

In this paper, torsional-flutter-based apparatus is investigated to extract wind energy. A nonlinear hybrid restoring toque mechanism, installed at equally spaced supports, is used to produce energy through limit-cycle vibration. doi.org/10.1115/1.4065…

This work explores the application of control variates (CV) to a crashworthiness analysis scenario, resulting in control variates being a powerful technique to extract valuable information from limited data sets. doi.org/10.1115/1.4066…

In this paper, a road-health-monitoring system that contains data obtaining, processing, and result evaluation is developed. asmedigitalcollection.asme.org/risk/article/1…

The Ayyub-Wiechel Risk Analysis Award has been established by Safety Engineering & Risk Analysis Division (SERAD) to honor individuals who have made remarkable contributions to the field of risk, reliability, and safety. See more info here: asmedigitalcollection.asme.org/risk/article/1…

This study provides a comprehensive overview of the development and applications of Bayesian approaches in construction management. ascelibrary.org/doi/10.1061/AJ…

This paper proposes an operational influence line identification approach for high-speed railway (HSR) bridges based on train-induced responses only. ascelibrary.org/doi/10.1061/AJ…

This study proposes an efficient multi-fidelity approach that leverages both high-fidelity and low-fidelity models via information fusion to enhance low-fidelity models with only a few high-fidelity model evaluations for unreinforced masonry walls. ascelibrary.org/doi/10.1061/AJ…

In this study, a risk-based safety insurance grading technique (SIGT) was set up for safety insurance assessment of chemical enterprises. ascelibrary.org/doi/10.1061/AJ…

This paper introduces a stress resultant–based approach for Bayesian model updating independent of mass assumptions. ascelibrary.org/doi/10.1061/AJ…

📢 Call for Papers—Special Collection on Forward Uncertainty Quantification for Aleatory & Epistemic Uncertainties: Methodologies, Tools, and Applications ASCE-ASME J. Risk Uncertainty Eng. Syst. 📅 Submission Deadline: July 31, 2025 🔗 More details and submission guidelines: ascelibrary.org/ajrua6/cfp-ale…